Spatial statistics has gained great interest in various disciplines, such as climatology, environmental science, ecology, economics, political science, and throughout the social sciences. The aim of this presentation is to introduce a variety of statistical methods in the spatial domain. We will introduce and discuss methods for three types of spatial data including geostatistical data, regional data, and spatial point patterns. Major subjects to be covered include spatial covariance functions, variograms, kriging, spatial autoregressive models, and K functions.
Dr. Huang is Assistant Professor of Statistics at Indiana University. He received his Ph.D. in statistics from Texas A&M University in 2001. His research interests include spatial statistics, spline smoothing, survival analysis, and statistics applications.